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Automation tool for testing and analytics from unity-3D game using Smart-fox server

Discussion in 'Unity Analytics' started by Sanathan, Mar 6, 2017.

  1. Sanathan

    Sanathan

    Joined:
    Mar 6, 2017
    Posts:
    1
    Hello Team,

    We have developed a game which is multi-player and complete internal purpose, we have stuck in the middle with regard doing testing and creating analytics for our game.

    Below are listed things we have planned to pull report. Can any one help us for providing any tools that are used to get below list of things at-least few helps us to configure other things manually.


    GAME REPORTS

    1. Users played

    2. Users and Minutes Played – for learning hours

    3. Users and Competencies acquired (if all traits acquired then L1)

    4. Users and Competencies acquired (if a certain number of traits are acquired .)

    5. Info on Fastest player, avg time..

    6. Round Wise Metrics by Player

    7. Number of correct and incorrect answers for each hub

    8. Player wise statistics of data hub wise

    9. Reporting Dimensions

    · Hub

    · User / Associate

    · Time

    · Play Round

    · Competencies​


    Other METRICS to be considered

    · Time to complete the game session - Highest, Lowest, Average

    · Number of mistakes made during the lesson or game session

    · Number of self-corrections made,

    · Time of access (login to logout time),

    · Amount of learning/gaming contents accessed

    · Specific types of learning/gaming contents accessed, and others.

    Analytics

    Insights to be obtained to

    · Game testing - game analytics​

    o It is the game reliable?

    o How many associates finish the game?

    o Average time to complete the game?

    · Game evaluation​

    o From pre-post test to learning analytics evaluation

    · Game deployment in the class​

    o Real-time information

    o “Stealth” user evaluation

    · knowing what is happening when the game is deployed

    · Player Behavior​

    o Which hubs are accessed first

    o Strategy chosen - PLAY to WIN or BLOCK

    · Mapping Computer Persona to skill level of other players

    · predicting what would be the best next move

    · Player behavior during the game; duration; dropouts;

    · Number of times computer is the winner​